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internal and external partners and in connection with external research funding publish original peer-reviewed research internationally and make scholarly contributions to developments within the field
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; mepage.faculty.ucdavis.edu ). Simonsen will be the main advisor to the PhD student. Her research studies policies that directly or indirectly affect children’s outcomes and she is an expert on the Danish administrative data
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development activities. The 2-year position will be vacant from 1 February 2026, or as soon as possible thereafter. Main work location is Odense/Denmark at SDU location in Odense Havn (Odense Port), with a
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
healthy work-life balance. Place of work and area of employment Main campus of Aarhus University at C.F. Møllers Allé 3, 8000 Aarhus C, Denmark Contact information For further information, please contact
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approx. 60 full time scientific staff and 80 PhDs, students and post docs, with approx. 80 thesis-based Bachelor and Masters students and visiting staff and students, who together contribute
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approx. 60 full time scientific staff and 80 PhDs, students and post docs, with approx. 80 thesis-based Bachelor and Masters students and visiting staff and students, who together contribute
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-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
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Bioinformatics Staff Scientist at the Center for Adipocyte Signaling (ADIPOSIGN) (Academic Employee)
researchers in the center to investigate the primary data generated from the experimental interrogation of adipocyte signaling states in isolated murine and human adipocytes using an array of functional
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deadlines. We value flexibility and ensure that extra efforts are balanced with a supportive and adaptable working environment. Your main tasks include: Providing ad hoc project management and coordination
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aerosol modules, and assess the importance of different processes with a comparison to available observations. Analyse large model output and observational datasets to determine the impacts and main drivers